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A STUDY OF THE IMPACT OF LAND USE AND OCCUPATION ON BASIN WATER QUALITY THROUGH MULTIVARIATE STATISTICS

Authors :
Luiz Sergio Vanzela
Fernando Braz Tangerino Hernandez
Antonio Sergio Ferraudo
Gilmar Oliveira Santos
Duílio Júlio Oliveira Santos
Univ Rio Verde
Universidade Estadual Paulista (Unesp)
Univ Brasil
Univ Ribeirao Preto
Source :
Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP, Engenharia Agrícola, Vol 37, Iss 3, Pp 453-462 (2017), Engenharia Agrícola, Volume: 37, Issue: 3, Pages: 453-462, Published: JUN 2017, Engenharia Agrícola v.37 n.3 2017, Engenharia Agrícola, Associação Brasileira de Engenharia Agrícola (SBEA), instacron:SBEA
Publication Year :
2017
Publisher :
Soc Brasil Engenharia Agricola, 2017.

Abstract

Made available in DSpace on 2018-11-26T15:44:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-05-01. Added 1 bitstream(s) on 2019-10-09T18:25:14Z : No. of bitstreams: 1 S0100-69162017000300453.pdf: 508998 bytes, checksum: b541e4e228b73695652a4e698b4ed181 (MD5) Without effective actions to improve environmental management, water resources tend to become scarce. Thus, this study aimed to understand the processes influencing the physical, chemical, and biological properties of the water due to land uses and occupation in the Ipe stream basin, in Ilha Solteira - SP (Brazil), regarding the dependence of the analyzed variables. Monitoring of chemical, physical, and biological water quality was performed from 2006 to 2011, and the records of land use and occupation in 2011. A factorial multivariate analysis allowed us to understand that the processes in densely populated areas increased degradation of water by the input of organic loads, yet those of farming areas enhanced the degradation of the chemical and physical quality of spring waters. Therefore, installing irrigation systems near populated areas, for crops consumed in natura, may compromise this agricultural activity, as well as the absence of water filtration systems downstream agricultural areas. Furthermore, we concluded that multivariate statistics is a powerful tool to detect these influencing processes in water quality. In this study, this type of analysis played an important role isolating the processes acting on water quality. Univ Rio Verde, Rio Verde, GO, Brazil Univ Estadual Paulista, Ilha Solteira, SP, Brazil Univ Estadual Paulista, Jaboticabal, SP, Brazil Univ Brasil, Fernandopolis, SP, Brazil Univ Ribeirao Preto, Ribeirao Preto, SP, Brazil Univ Estadual Paulista, Ilha Solteira, SP, Brazil Univ Estadual Paulista, Jaboticabal, SP, Brazil

Details

Language :
English
ISSN :
01006916
Database :
OpenAIRE
Journal :
Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP, Engenharia Agrícola, Vol 37, Iss 3, Pp 453-462 (2017), Engenharia Agrícola, Volume: 37, Issue: 3, Pages: 453-462, Published: JUN 2017, Engenharia Agrícola v.37 n.3 2017, Engenharia Agrícola, Associação Brasileira de Engenharia Agrícola (SBEA), instacron:SBEA
Accession number :
edsair.doi.dedup.....1c983e3d0549221f3dc8822adfd976b7